This course focuses on one of the most important tools in your data analysis arsenal: regression analysis. Using either SAS or Python, you will begin with linear regression and then learn how to adapt when two variables do not present a clear linear relationship. You will examine multiple predictors of your outcome and be able to identify confounding variables, which can tell a more compelling story about your results. You will learn the assumptions underlying regression analysis, how to interpret regression coefficients, and how to use regression diagnostic plots and other tools to evaluate the quality of your regression model. Throughout the course, you will share with others the regression models you have developed and the stories they tell you.

At the center of a good story are the characters in it. In this course aspiring writers will discover how to build and bring to life complex, vivid and unforgettable characters. We will study the choices a writer makes to bring all characters to life on the page, and we will perform written exercises in order to develop a variety of writing and pre-writing techniques, in order to create a variety of characters.

Are you interested in predicting future outcomes using your data? This course helps you do just that! Machine learning is the process of developing, testing, and applying predictive algorithms to achieve this goal. Make sure to familiarize yourself with course 3 of this specialization before diving into these machine learning concepts. Building on Course 3, which introduces students to integral supervised machine learning concepts, this course will provide an overview of many additional concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.

Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.

This course examines how the idea of "the modern" develops at the end of the 18th century in European philosophy and literature, and how being modern (or progressive, or hip) became one of the crucial criteria for understanding and evaluating cultural change. Are we still in modernity, or have we moved beyond the modern to the postmodern?

This course examines how the idea of "the modern" develops at the end of the 18th century in European philosophy and literature, and how being modern (or progressive, or hip) became one of the crucial criteria for understanding and evaluating cultural change.

Your style is as unique and distinctive as your face, your voice, except that you can choose it, you can can work on it, enhance it. In this course we will introduce aspiring writers to the art of putting pressure on written language. We will study the use of metaphor and imagery, and demonstrate how clarity, grace, and inventiveness in word choice are imperative to a story’s success. Writers will emerge with the revision skills essential to all writers of good stories and good prose.

In this course aspiring writers will be introduced to the techniques that masters of fiction use to ground a story in a concrete world. From the most realist settings to the most fantastical, writers will learn how to describe the physical world in sharp, sensory detail. We will also learn how to build credibility through research, and to use creative meditation exercises to deepen our own understanding of our story worlds, so that our readers can see all that we imagine.

In this course aspiring writers will be introduced to perhaps the most elemental and often the most challenging element of story: plot. We will learn what keeps it moving, how it manipulates our feelings, expectations, and desires. We will examine the choices storytellers make to snag our imaginations, drag them into a fictional world, and keep them there. We will learn how to outline and structure a plot, discuss narrative arc, pacing and reversals and reveal the inevitable surprise: connecting the beginning, middle and end.

The goal of the course is to introduce students to Python Version 3.x programming using hands on instruction. It will show how to install Python and use the Spyder IDE (Integrated Development Environment) for writing and debugging programs.

How can we use the things we share in common to address some of the most challenging problems facing the world? This course examines issues concerning poverty, the environment, technology, health care, gender, education and activism to helps us understand better how to initiate positive change.

MOOCs – Massive Open Online Courses – enable students around the world to take university courses online. This guide, by the instructors of edX’s most successful MOOC in 2013-2014, Principles of Written English (based on both enrollments and rate of completion), advises current and future students how to get the most out of their online study, covering areas such as what types of courses are offered and who offers them, what resources students need, how to register, how to work effectively with other students, how to interact with professors and staff, and how to handle assignments. This second edition offers a new chapter on how to stay motivated. This book is suitable for both native and non-native speakers of English, and is applicable to MOOC classes on any subject (and indeed, for just about any type of online study).